Climate Data Assimilation

Climate Data Assimilation is a computational framework that systematically integrates observational climate data with numerical model predictions to produce a temporally and spatially coherent estimate of the climate system state, distinguished by its ability to optimally combine heterogeneous data sources while minimizing uncertainties inherent in both observations and models.

236

Publications

53.7K

Citations

929

Authors

359

Institutions

Publications per year

2017–2026

78

Authors

929

  1. GJ
    Gregory J. Hakim

    University of Washington, United States

    13 publications · 685 citations

    13

    h-index

  2. SZ
    Shaoqing Zhang

    Ocean University of China, China

    11 publications · 711 citations

    10

    h-index

  3. JG
    J. G. Anderson

    NSF National Center for Atmospheric Research, United States

    7 publications · 389 citations

    7

    h-index

  4. HG
    Hugues Goosse

    UCLouvain, Belgium

    7 publications · 311 citations

    7

    h-index

  5. KR
    Kevin Raeder

    NSF National Center for Atmospheric Research, United States

    6 publications · 340 citations

    6

    h-index

1–5 of 929

Venues

  1. Monthly Weather Review

    22 publications · 3.5K citations

    18

    h-index

  2. Journal of Climate

    17 publications · 1.1K citations

    15

    h-index

  3. 14

    h-index

  4. Journal of Advances in Modeling Earth Systems

    JAMES · 12 publications · 735 citations

    12

    h-index

  5. Climate of the past

    11 publications · 620 citations

    11

    h-index

1–5